Cued Speech Hand Shape Recognition

Thomas Burger (1) , Oya Aran (2) , Alice Caplier (1) , Lale Akarun (2)

1 GIPSA-GPIG - GIPSA - Géométrie, Perception, Images, Geste
2 Department of Computer Engineering [Bogazici]

As part of our work on hand gesture interpretation, we present our results on hand shape recognition. Our method is based on attribute extraction and multiple binary SVM classification. The novelty lies in the fashion the fusion of all the partial classification results are performed. This fusion is (1) more efficient in terms of information theory and leads to more accurate result, (2) general enough to allow other source of information to be taken into account: Each SVM output is transformed to a belief function, and all the corresponding functions are fused together with some other external evidential sources of information

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Thomas Burger, Oya Aran, Alice Caplier, Lale Akarun. Cued Speech Hand Shape Recognition. VISAPP 2007 - 2nd International Conference on Computer Vision Theory and Applications, Mar 2007, Barcelone, Spain. ⟨hal-00158417⟩